Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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30,841 to 30,900 of 32,725

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia, Eugenio Culurciello
cs.CVcs.LGarXiv:1707.03718v12017
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj, Paolo Gasti, Giuseppe Ateniese +1
cs.CRcs.LGstat.MLarXiv:1709.00440v32017
ToolACE: Winning the Points of LLM Function Calling
Weiwen Liu, Xu Huang, Xingshan Zeng +24
cs.LGcs.AIcs.CLarXiv:2409.00920v22024
From Copilot to Pilot: Towards AI Supported Software Development
Rohith Pudari, Neil A. Ernst
cs.SEcs.AIcs.LGarXiv:2303.04142v12023
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan J. Foster, Adam Block, Dipendra Misra
cs.LGcs.AImath.STarXiv:2407.15007v22024
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto, Ruslan Salakhutdinov
cs.LGarXiv:1702.08360v12017
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Xiaolei Ma, Zhuang Dai, Zhengbing He +3
cs.LGstat.MLarXiv:1701.04245v42017
Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
Shengyuan Hu, Yiwei Fu, Zhiwei Steven Wu +1
cs.LGarXiv:2406.13356v42024
EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation
Julius Richter, Yi-Chiao Wu, Steven Krenn +5
eess.AScs.LGcs.SDarXiv:2406.06185v22024
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
Jiawei Jiang, Chengkai Han, Wayne Xin Zhao +1
cs.LGarXiv:2301.07945v32023
Video Frame Synthesis using Deep Voxel Flow
Ziwei Liu, Raymond A. Yeh, Xiaoou Tang +2
cs.CVcs.GRcs.LGarXiv:1702.02463v22017
MAUVE Scores for Generative Models: Theory and Practice
Krishna Pillutla, Lang Liu, John Thickstun +6
cs.LGcs.AIcs.CLarXiv:2212.14578v22022
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando, Dylan Banarse, Charles Blundell +5
cs.NEcs.LGarXiv:1701.08734v12017
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra, George Tucker, Jan Chorowski +2
cs.NEcs.LGarXiv:1701.06548v12017
A Perspective on Deep Imaging
Ge Wang
q-bio.QMcs.CVcs.LGarXiv:1609.04375v22016
Deep Learning for Sensor-based Activity Recognition: A Survey
Jindong Wang, Yiqiang Chen, Shuji Hao +2
cs.CVcs.AIcs.LGarXiv:1707.03502v22017
By-passing the Kohn-Sham equations with machine learning
Felix Brockherde, Leslie Vogt, Li Li +3
physics.comp-phcs.LGphysics.chem-pharXiv:1609.02815v32016
Snapshot Ensembles: Train 1, get M for free
Gao Huang, Yixuan Li, Geoff Pleiss +3
cs.LGarXiv:1704.00109v12017
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Jesse Engel, Cinjon Resnick, Adam Roberts +4
cs.LGcs.AIcs.SDarXiv:1704.01279v12017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu, Jia Deng
cs.LGstat.MLarXiv:1701.00299v32017
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton +11
cs.CLcs.LGcs.SDarXiv:1703.10135v22017
Clustering Algorithms: A Comparative Approach
Mayra Z. Rodriguez, Cesar H. Comin, Dalcimar Casanova +4
cs.LGstat.MLarXiv:1612.08388v12016
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Ke Gong, Xiaodan Liang, Dongyu Zhang +2
cs.CVcs.AIcs.LGarXiv:1703.05446v22017
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, Richard S. Zemel
cs.LGstat.MLarXiv:1703.05175v22017
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
Jongpil Lee, Juhan Nam
cs.NEcs.LGcs.MMarXiv:1703.01793v22017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation
Lei Tai, Giuseppe Paolo, Ming Liu
cs.ROcs.AIcs.LGarXiv:1703.00420v42017
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGstat.MLarXiv:1703.00862v22017
DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning
Abhay Zala, Han Lin, Jaemin Cho +1
cs.CVcs.AIcs.CLarXiv:2310.12128v22023
Less-forgetting Learning in Deep Neural Networks
Heechul Jung, Jeongwoo Ju, Minju Jung +1
cs.LGarXiv:1607.00122v12016
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil +72
cs.ARcs.LGcs.NEarXiv:1704.04760v12017
The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou +6
cs.CLcs.AIcs.LGarXiv:1606.06031v12016
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan, Nicolas Papernot +2
cs.CRcs.LGstat.MLarXiv:1702.06280v22017
In-context Example Selection with Influences
Tai Nguyen, Eric Wong
cs.CLcs.LGarXiv:2302.11042v22023
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
Jiajun Lu, Theerasit Issaranon, David Forsyth
cs.CVcs.LGarXiv:1704.00103v22017
Neural Machine Translation in Linear Time
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan +3
cs.CLcs.LGarXiv:1610.10099v22016
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
Zhuo Zhang, Yuanhang Yang, Yong Dai +2
cs.LGcs.CLarXiv:2212.10025v22022
Thinking Fast and Slow in Large Language Models
Thilo Hagendorff, Sarah Fabi, Michal Kosinski
cs.CLcs.AIcs.LGarXiv:2212.05206v22022
OpenAI Gym
Greg Brockman, Vicki Cheung, Ludwig Pettersson +4
cs.LGcs.AIarXiv:1606.01540v12016
GenRec: Large Language Model for Generative Recommendation
Jianchao Ji, Zelong Li, Shuyuan Xu +4
cs.IRcs.AIcs.CLarXiv:2307.00457v22023
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe +4
cs.CLcs.AIcs.LGarXiv:1605.06069v32016
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang, Xiaodan Liang +2
cs.LGcs.AIcs.CLarXiv:1703.00955v42017
Quantum machine learning for image classification
Arsenii Senokosov, Alexandr Sedykh, Asel Sagingalieva +2
quant-phcs.CVcs.LGarXiv:2304.09224v22023
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian J. Goodfellow, Mehdi Mirza, Da Xiao +2
stat.MLcs.LGcs.NEarXiv:1312.6211v32013
Deep Fruit Detection in Orchards
Suchet Bargoti, James Underwood
cs.ROcs.AIcs.CVarXiv:1610.03677v22016
Convolutional neural network architecture for geometric matching
Ignacio Rocco, Relja Arandjelović, Josef Sivic
cs.CVcs.LGarXiv:1703.05593v22017
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Ali Mousavi, Richard G. Baraniuk
stat.MLcs.AIcs.ITarXiv:1701.03891v12017
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
Randal S. Olson, William La Cava, Patryk Orzechowski +2
cs.LGcs.AIarXiv:1703.00512v12017
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen +3
cs.CVcs.AIcs.LGarXiv:2208.13753v22022
Deep attractor network for single-microphone speaker separation
Zhuo Chen, Yi Luo, Nima Mesgarani
cs.SDcs.LGarXiv:1611.08930v22016
Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting
Yang Li, Ruinong Wang, Zhen Yang
eess.SPcs.LGeess.SYarXiv:2108.06764v12021
Specializing Smaller Language Models towards Multi-Step Reasoning
Yao Fu, Hao Peng, Litu Ou +2
cs.CLcs.AIcs.LGarXiv:2301.12726v12023
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
Jiaqi Chen, Tong Li, Jinghui Qin +4
cs.AIcs.LGarXiv:2212.02746v12022
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
Haowei Zhu, Wenjing Ke, Dong Li +3
cs.CVcs.AIcs.LGarXiv:2205.02151v12022
An Empirical Analysis of Feature Engineering for Predictive Modeling
Jeff Heaton
cs.LGarXiv:1701.07852v22017
Evaluating the Text-to-SQL Capabilities of Large Language Models
Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau
cs.CLcs.DBcs.LGarXiv:2204.00498v12022
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Ho Hin Lee, Shunxing Bao, Yuankai Huo +1
cs.CVcs.LGarXiv:2209.15076v42022
Building Machines That Learn and Think Like People
Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum +1
cs.AIcs.CVcs.LGarXiv:1604.00289v32016
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla, Chiho Choi, Isht Dwivedi +2
cs.CVcs.AIcs.LGarXiv:2209.10767v22022
Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks
Daniel Lévy, Arzav Jain
cs.CVcs.LGarXiv:1612.00542v12016
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee, Franck Dernoncourt
cs.CLcs.AIcs.LGarXiv:1603.03827v12016

Machine Learning

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

PassGAN: A Deep Learning Approach for Password Guessing

ToolACE: Winning the Points of LLM Function Calling

From Copilot to Pilot: Towards AI Supported Software Development

Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Neural Map: Structured Memory for Deep Reinforcement Learning

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning

EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction

Video Frame Synthesis using Deep Voxel Flow

MAUVE Scores for Generative Models: Theory and Practice

PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Regularizing Neural Networks by Penalizing Confident Output Distributions

A Perspective on Deep Imaging

Deep Learning for Sensor-based Activity Recognition: A Survey

By-passing the Kohn-Sham equations with machine learning

Snapshot Ensembles: Train 1, get M for free

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders

Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution

Tacotron: Towards End-to-End Speech Synthesis

Clustering Algorithms: A Comparative Approach

Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing

Prototypical Networks for Few-shot Learning

Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning

Less-forgetting Learning in Deep Neural Networks

In-Datacenter Performance Analysis of a Tensor Processing Unit

The LAMBADA dataset: Word prediction requiring a broad discourse context

On the (Statistical) Detection of Adversarial Examples

In-context Example Selection with Influences

SafetyNet: Detecting and Rejecting Adversarial Examples Robustly

Neural Machine Translation in Linear Time

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods

Thinking Fast and Slow in Large Language Models

OpenAI Gym

GenRec: Large Language Model for Generative Recommendation

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Toward Controlled Generation of Text

Quantum machine learning for image classification

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Deep Fruit Detection in Orchards

Convolutional neural network architecture for geometric matching

Learning to Invert: Signal Recovery via Deep Convolutional Networks

PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Deep attractor network for single-microphone speaker separation

Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting

Specializing Smaller Language Models towards Multi-Step Reasoning

UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification

An Empirical Analysis of Feature Engineering for Predictive Modeling

Evaluating the Text-to-SQL Capabilities of Large Language Models

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Building Machines That Learn and Think Like People

DRAMA: Joint Risk Localization and Captioning in Driving

Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks